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Measuring Research Progress and Linguistic Inclusion in Low-Resource Languages

Summary

A study of 1,158 peer-reviewed papers from 2020 to 2025 finds that although low-resource language publications grew from 52 to 415 per year, growth concentrated on already-represented languages. The authors introduce the Linguistic Inclusion Framework (LIF), which measures inclusion across research growth, representation expansion, representation continuity, and distributional equity, and find that no region scores well on all four dimensions.

SourcearXiv Computational LinguisticsAuthor: Atnafu Lambebo Tonja, Tadesse Destaw Belay, Jesujoba Oluwadara Alabi, Israel Abebe Azime, Benjamin Rosman, Ehsan Shareghi, Thamar Solorio, Pontus Stenetorp, Monojit Choudhury
Measuring Research Progress and Linguistic Inclusion in Low-Resource Languages
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[Submitted on 21 Oct 2026]

Title:Measuring Research Progress and Linguistic Inclusion in Low-Resource Languages

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Abstract:Large Language Models (LLMs) have accelerated research on low-resource and multilingual NLP, but their effectiveness in creating an equitable landscape remains unmapped. We analyze 1,158 peer-reviewed open-access papers published between 2020 and 2025, examining research attention to low-resource languages (LRLs) and representation across language and speaker populations. To assess linguistic inclusion beyond publication counts, we introduce the Linguistic Inclusion Framework (LIF), a multidimensional framework that measures linguistic inclusion in four dimensions: research growth, representation expansion, representation continuity, and distributional equity. While annual publications grew from 52 to 415, a 5.4X increase in their ACL Anthology publication share, this growth largely concentrated on represented languages rather than expanding coverage of underrepresented languages. Further analysis shows that languages spoken in Asia account for 64.1% of speakers across LRLs we analyze but receive only 46.7% of the language representation share (0.7X their proportional share), while European languages receive 5.3X their proportional share. At the country level, linguistically diverse regions such as sub-Saharan Africa and Southeast Asia show the lowest language coverage ratios. Applying the framework at the continental level, we find that no region scores well on all four dimensions, showing that research growth alone is not a reliable metric of progress toward equitable and inclusive language technology\footnote{We will release all collected and annotated data for research purposes}.

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Computation and Language (cs.CL)

Cite as: arXiv:2610.30296 [cs.CL]

(or arXiv:2610.30296v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2610.30296

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Atnafu Lambebo Tonja [view email] [v1] Wed, 21 Oct 2026 18:11:51 UTC (5,287 KB)

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Key points

  • Analysis covers 1,158 papers, with annual publications rising from 52 to 415, a 5.4X increase
  • Asian languages make up 64.1% of speakers among analyzed low-resource languages but receive only 46.7% of language representation
  • European languages receive 5.3X their proportional share of representation
  • Linguistically diverse regions such as sub-Saharan Africa and Southeast Asia have the lowest coverage; no region scores well on all four dimensions

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